"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.
The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.
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MS

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

JG

Apr 17, 2020

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This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.

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Advanced Visualizations and Geospatial Data

In this module, you will learn about advanced visualization tools such as waffle charts and word clouds and how to create them. You will also learn about seaborn, which is another visualization library, and how to use it to generate attractive regression plots. In addition, you will learn about Folium, which is another visualization library, designed especially for visualizing geospatial data. Finally, you will learn how to use Folium to create maps of different regions of the world and how to superimpose markers on top of a map, and how to create choropleth maps.

講師

Alex Aklson

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In this video, we will continue working with the Folium library and learn how to superimpose markers on top of a map for interesting visualizations. In the previous video, we learned how to create a world map centred around Canada, so let's create this map again and name it canada_map this time. Ontario is a Canadian province and contains about 40 percent of the Canadian population. It is considered Canada's most populous province. Let's see how we can add a circular mark to the centre of Ontario. To do that, we need to create what is called a feature group. Let's go ahead and create a feature group named Ontario. Now when a feature group is created, it is empty and that means what's next is to start creating what is called children and adding them to the feature group. So let's create a child in the form of a red circular mark located at the centre of the Ontario province. We specify the location of the child by passing in its latitude and longitude values. And once we're done adding children to the feature group, we add the featured group to the map. And there you have it: A red circular mark superimposed on top of the map and added to the centre of the province of Ontario. Now it would be nice if we could actually label this marker in order to let other people know what it actually represents. To do that, we simply use the marker function and the pop up parameter to pass in whatever text we want to add to this marker. And there you go: Now our marker displays Ontario when clicked on. In the lab session, we will look into a real-world example and explore crime rate in San Francisco. We will create a map of San Francisco and superimpose thousands of these markers on top of the map. Not just that but I'll show you how you can also create clusters of markers in order to make your map look less congested. This module's lab session is a very interesting one so please make sure to complete it. And with this, we conclude our video on adding markers to maps with Folium. I'll see you in the next video.